Senior ML Engineer (Energy & Utilities)
New
A
AZXEnergy and Utilities
Fully remote cultureFull-TimeSenior
Salary$140K - $225K
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Job Details
- Experience
- 5+ years
- Required Skills
- PostgreSQLPythonSQLMachine LearningNumpyData engineeringRustscikit-learn
Requirements
- 5+ years of experience shipping applied ML on real-world signals such as forecasting, disaggregation, or sensor data.
- Strong numerical and scientific computing skills including feature engineering and solver-level numerics.
- Proficiency in Python; experience with or willingness to learn Rust.
- Demonstrated ability in library craft: building versioned, tested, and documented APIs.
- Willingness to perform end-to-end data engineering, including data cleaning and profiling.
- Practical fluency in Python 3.12+, numpy, pandas/polars, scikit-learn, statsmodels, and SQL/Postgres or TimescaleDB.
- Experience with PyO3/maturin and building evaluation harnesses for scientific software.
- Bachelor's Degree required; Master's degree preferred.
- Willingness to travel twice a year for company summits.
Responsibilities
- Own reusable utility ML libraries including forecasting, disaggregation, demand response, detection, and asset health with evaluation harnesses and documentation.
- Build tested libraries to allow client pods to deploy proven components.
- Maintain the simulation engine including Rust crates, Python bindings, and validation methodology.
- Manage grid-data toolkits, protocol codecs, synthetic scenario generators, and verification utilities.
- Develop planning and dispatch support for demand-response programs.
- Manage the release process for versioned crates and Python packages.
- Collaborate with client pods to incorporate field feedback into future developments.
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